Data Science Placement Programme

23 Days Old

Data Scientist Placement Programme - No Experience Required/n/nOur training will help you kick-start a new career as a Data Scientist./n/nWe are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion./n/nWhether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you./n/nThe traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months:/n/nStep 1 - Full Data Science Career Training/n/nYou will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role.
Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study./n/nThis step will fully prepare you for the professional projects that you will undertake in step 4 of this process./n/nAt the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2./n/nStep 2 - CompTIA Data+/n/nCompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics.
In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd./n/nStep 3 - Official Exam/n/nThe CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online./n/nStep 4 - Practical Projects/n/nNow that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor.
The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned./n/nWhilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage./n/nYour Data Science Role/n/nOnce you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary.
We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates./n/nAt a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees./n/nRead through the information? Passionate about starting a career in data science?
Apply now and one of our friendly advisors will be in touch./n/n‘Please note that this is a training course and fees apply
Apply
Location:
Stevenage
Job Type:
PartTime

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